Multiscale Modeling of Hospital Length of Stay for Successive SARS-CoV-2 Variants: A Multi-State Forecasting Framework

Minchan Choi, Jungeun Kim, Heesung Kim, Ruarai J. Tobin, Sunmi Lee

Open source

DOI: 10.3390/v17070953
Published: 2025-07-06
Container: Viruses
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/v17070953,
  title = {Multiscale Modeling of Hospital Length of Stay for Successive SARS-CoV-2 Variants: A Multi-State Forecasting Framework},
  author = {Minchan Choi and Jungeun Kim and Heesung Kim and Ruarai J. Tobin and Sunmi Lee},
  year = {2025},
  journal = {Viruses},
  doi = {10.3390/v17070953},
  url = {https://doi.org/10.3390/v17070953}
}

RIS

TY  - JOUR
TI  - Multiscale Modeling of Hospital Length of Stay for Successive SARS-CoV-2 Variants: A Multi-State Forecasting Framework
AU  - Minchan Choi
AU  - Jungeun Kim
AU  - Heesung Kim
AU  - Ruarai J. Tobin
AU  - Sunmi Lee
PY  - 2025
JO  - Viruses
DO  - 10.3390/v17070953
UR  - https://doi.org/10.3390/v17070953
ER  -

APA

Choi, M., Kim, J., Kim, H., Tobin, R. J., & Lee, S. (2025). Multiscale Modeling of Hospital Length of Stay for Successive SARS-CoV-2 Variants: A Multi-State Forecasting Framework. Viruses. https://doi.org/10.3390/v17070953

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crossref · retrieved 2026-09-26T10:27:26.465Z